Journal of Soilscape and Agriculture

The Effect of Plant Growth Promoting Fungi Mycorrhiza and Trichoderma on The Productivity of Edamame Soybean Plants (Glycine Max (L.) Merrill)

2025-08-14T18:19:12+07:00

Sustainable edamame cultivation using Plant Growth Promoting Fungi (PGPF) Mycorrhiza sp and Trichoderma sp is still not widely applied by Indonesian farmers. The purpose of this research was to test the effect of plant growth promoting fungi Mycorrhiza sp and Trichoderma sp on the productivity of edamame soybean plants. This research was conducted from June to September 2024 at Jember City. The research design used was a Completely Randomized Design (CRD) with 4 levels with 5 replications until there were 20 experimental units with treatment levels, P0: 0 gr/plant (Negative control), P1: 15 gr/plant Mycorrhiza sp, P2: 15 gr/ plant Trichoderma sp, P3: 15 gr/plant both PGPF (7.5 gr/ plant Mycorrhiza sp + 7.5 gr/ plant Trichoderma sp). Observation variables include plant height, trifoliate, productive branches, flowering age, root infection. The research results show that the observation variables of plant height and productive branches have different results that are not significant while trifoliate had an effect of treatment on the observation of variables of week 1 and week 2 and the observation variables of flowering age it shows that the first flowers appeared at the age of 42 dap and root infection had an effect which is indicated by the presence of hyphae on the roots of soybean plants. The Treatment of PGPF Mycorrhiza sp and Trichoderma sp had an effect on the observation of flowering age and root infection, while the single treatment Mycorrhiza sp had an effect on the observation of the number of trifoliate leaves.

Climate Analysis Based on Remote Sensing

2025-08-23T09:21:02+07:00

Climate was an important factor that greatly influenced human life and the environment. Remote sensing facilitated the monitoring, recording, and interpretation of climate data, which could be used for geographic reference–based decision-making. This study aimed to analyze climate components using satellite imagery data. The research was conducted in Mojokerto Regency from January to April 2024. The analyzed climate parameters included LST from Landsat 8 SR, RH and THI from ERA 5, rainfall from CHIRPS, and evapotranspiration from MODIS. All data were processed and analyzed on the cloud computing platform GEE. The analysis of 2023 satellite imagery showed that Mojokerto Regency’s climate, in terms of LST, was dominated by the medium class (57.4%), RH was classified as slightly dry (47.4%), THI indicated uncomfortable (too hot) conditions in 32.4% of the area, rainfall was generally low (72%), and evapotranspiration was low in 65.9% of the total area. The results of this study could be used to develop strategies for increasing vegetation cover, implementing environmentally friendly land management, and adopting climate adaptation measures to reduce the risk of environmental degradation.

The effect of Auxin Concentratioin and Planting Media Composition on The Growth and Yield of Straw Mushrooms (Volvariella volvaceae)

2025-09-02T02:04:11+07:00

This research investigates the effect of auxin concentration and planting media composition on the growth and yield of paddy straw mushrooms (Volvariella volvacea). Using a completely randomized design (CRD), this study tested various treatment combinations of planting media composition consisting of 100% straw (M1), 75% straw + 25% tofu dregs (M2), and 50% straw + 50% tofu dregs (M3), as well as the addition of several auxin concentrations consisting of control or without auxin (K0), synthetic auxin 3 ml/L (K1), auxin 6 ml/L (K2), and auxin 9 ml/L (K3). The 100% straw planting medium (M1) resulted in the highest number of fruiting bodies, while the treatment combination of 75% straw and 25% tofu dregs with the addition of 6 ml/L auxin concentration (M2K2) is recommended to provide the best results for fruiting body diameter. In addition, the treatment combination of 75% straw and 25% tofu dregs with the addition of 9 ml/L auxin concentration (M2K3) produced the highest fruiting body weight. This research recommends the use of the right combination of media and auxin concentration for optimal paddy straw mushroom cultivation. The results of this study are expected to provide guidance for farmers in increasing the productivity of paddy straw mushrooms in Indonesia, especially in East Java, by utilizing organic waste as a nutrient-rich planting medium.

Survey and Mapping of Vegetation Density through Remote Sensing and Satellite Imagery

2025-08-08T13:22:09+07:00

The development of technology in the current era of globalization is taking place very fast and information technology is needed, among others, as an informant for the situation on the earth's surface. GIS technology can be used to identify vegetation density in an area. The data analysis method used was the NDVI and SAVI vegetation index transformation methods for vegetation density identification. This research was conducted in Ambulu District, Jember Regency, East Java Province. Using satellite images from Landsat 8 OLI imagery which is then explained with descriptive analysis. The identification results showed that for the use of NDVI and SAVI methods, the similarity in the number of classes was 3 classes with low, medium and high categories. It has 3 similarities in classes but there are differences in the area of land in each of these vegetation indexes.

Estimation of Carbon Stock as an Impact of Land Use Change in Anduonohu Village, Poasia District, Kendari City

2025-10-14T12:41:11+07:00

The rapid development of Kendari City has led to numerous changes in land use for commercial activities, thereby unknowingly reducing stored carbon reserves. The change in forest function, which is dominated by land for human settlement and trade activities, has reduced the amount of stored carbon reserves. Anduonohu Village is the largest village in the Poasia District, covering an area of 14.11 km²(32.88% of the total area of the Poasia District). The rapid development of Kendari City has led to numerous land changes for commercial activities, thereby reducing stored carbon reserves. The objectives of this study are 1) to determine land use in Anduonohu Village, Poasia District, Kendari City, and 2) to determine carbon reserves as a result of land use changes in Anduonohu Village, Poasia District, Kendari City. This research was conducted in Anduonohu Village in June-July 2023. The research method used was a quantitative descriptive method with data collection techniques, namely observation, documentation, and literature study techniques, and using spatial analysis to analyze the quantitative data obtained. The results obtained in this study are 1) land use in Anduonohu Village in 2018 and 2022 is divided into seven types, namely secondary dryland forest, plantations, secondary mangrove forest, settlements, shrubs/scrub, additional land, and open land. Of the seven types of land use in Anduonohu Village, the largest land change between 2018 and 2022 was in the residential area, which increased by 487 ha. 2) The amount of carbon reserves in Anduonohu Village in 2018 was 868.354 tons/ha and decreased to 822.181 tons/ha in 2022 from the seven types of land use in Anduonohu Village.ha in 2022 from the seven types of land use in Anduonohu Village.

Analysis Of Land Use Change And Its Impact On Carbon Stock Availability In Katobu District, Muna Regency

2025-10-04T04:55:13+07:00

This study aims to determine land use change and the extent of its impact on carbon stock changes due to land use change in Katobu District, Muna Regency. This research was conducted from July to August 2023. In this study, an analysis was carried out to assess the extent of land use change in 2016 and 2022, accompanied by an analysis of the carbon stock generated from land use during that period using the formula from the GHG Calculator developed by ICLEI–Local Governments for Sustainability. The results of the study show that there are five types of land with the largest percentage being Mixed Agriculture at 65% in 2016 and 43% in 2022, while the highest carbon stock value in 2016 was Mixed Agriculture with 22,046.7 tons and the highest carbon stock value in 2022 was also Mixed Agriculture with 14,846.7 tons.